While some organizations are finding success as they map coronavirus spread, public health agencies are still often relying on manual processes to gather and submit data, which is often incomplete, says former U.S. Chief Technology Officer Aneesh Chopra.

John Halamka describes how clinicians at Mayo are benefiting from machine learning-powered approaches to imaging, predictive analytics and other types of decision support – and using machine learning to mine historical data for new treatments.